over 1 year ago
Base Salary
$175k - $225k/yr
Responsibilities
- Own the reliability, availability, and production stability of Zilliz Cloud.
- Debug complex production issues across Kubernetes, cloud infrastructure, networking, storage, and distributed database systems.
- Build automation and diagnostic tooling for log analysis, alert correlation, incident investigation, runbook automation, and remediation workflows.
- Convert recurring incidents into reusable tools, automation, documentation, and product improvements.
- Improve observability for latency, availability, throughput, and resource efficiency.
- Partner with database and infrastructure engineers to improve reliability, scalability, and automation.
Requirements
- At least 3 years of experience building or operating production cloud systems, infrastructure platforms, database systems, or large-scale online services.
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Strong hands-on experience with Kubernetes, Docker, and at least one of AWS, GCP, or Azure.
- Solid understanding of distributed systems, availability, scalability, performance, failure recovery, and operational tradeoffs.
- Experience with distributed databases, storage systems, search systems, or large-scale online systems is preferred.
- Experience operating highly multi-tenant systems or large infrastructure fleets is especially valuable.
- Familiarity with Terraform, Helm, Argo CD, Prometheus, Grafana, and CI/CD systems.
- Strong bias for action and ability to thrive in a fast-paced, rapidly scaling environment.
Benefits
- Globally distributed work with collaboration across APAC.
- On-call coverage designed around time zones rather than overnight pages.
- High ownership, autonomy, and minimal process within a fast-moving Cloud Platform team.
Tech Stack
Categories
DevOpsSite Reliability
About Zilliz
Zilliz develops vector database software for AI applications, including the open-source Milvus project and a managed cloud service with enterprise features. Founded in 2017 and headquartered in Redwood City, California, the privately held company was started by the engineers behind Milvus and sells subscriptions, cloud usage, and support to organizations building similarity search, retrieval-augmented generation, and other unstructured-data workloads.